CELL SORTING AND ANTIBODIES TO NEUROENDOCRINE CELLS

细胞分选和神经内分泌细胞抗体

基本信息

  • 批准号:
    3407393
  • 负责人:
  • 金额:
    $ 7.17万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    1987
  • 资助国家:
    美国
  • 起止时间:
    1987-07-01 至 1990-06-30
  • 项目状态:
    已结题

项目摘要

The long term objective of this research is to increase understanding of the role of the cell surface in development and function of neuroendocrine cells, specifically hypothalamic magnocellular neurosecretory neurons. The primary aim is to determine if there are plasma membrane molecules which distinguish populations of neurosecretory cells and to utilize any such molecules to produce cell-type-specific markers. This question will be addressed by using monoclonal antibodies (MAbs) as probes for antigenic determinants in the plasmalemma. Because such molecules no doubt represent a very small proportion of the total antigenic molecules in extracts of neural tissue, several novel techniques are proposed to enhance the probability of obtaining MAbs against them. Two general strategies will be employed; enrichment of immunogens in neurosecretory cell surface molecules, and selection for activated lymphocytes prior to fusion with myeloma partners. Both strategies take advantage of fluorescence activated cell sorting (FACS) technology. Successful production of such MAbs would make it possible to test several specific hypotheses. Among these are: (1) that specific cell surface molecules mediating strict chemoaffinity mechanisms play a more important role than competitive rearrangement of circuitry during hypothalamic-neurohypophysial development; (2) that glucocorticoids and other hormonal or trophic factors influence cell survival and/or peptide gene expression during neurosecretory differentiation; and (3) that alterations in the concentrations of plasmalemmal molecules mediate the marked plastic changes which occur in the mature magnocellular neurosecretory system. A technical aim of this research is to apply novel FACS techniques to analysis of neuroendocrine cells. Methods have been developed for purification of rare neuronal populations (fixed neurophysin-containing neurons) for use as immunogens in attempts to produce MAbs against their surface antigens. In addition, use of the FACS as a tool for pre-fusion selection of activated lymphocytes is being explored in order to increase the probability of producing MAbs to rare antigens. Results of this research should increase our understanding of the role of the cell surface in normal ontogeny and function of neurosecretory neurons. In addition, they might shed light on such pathological states as idiopathic diabetes insipidus.
这项研究的长期目标是增加对

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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CHARLES M PADEN其他文献

CHARLES M PADEN的其他文献

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{{ truncateString('CHARLES M PADEN', 18)}}的其他基金

CELLULAR CORRELATES OF AXONAL SPROUTING
轴突萌芽的细胞相关性
  • 批准号:
    6240258
  • 财政年份:
    1997
  • 资助金额:
    $ 7.17万
  • 项目类别:
CELLULAR CORRELATES OF AXONAL SPROUTING
轴突萌芽的细胞相关性
  • 批准号:
    2270751
  • 财政年份:
    1994
  • 资助金额:
    $ 7.17万
  • 项目类别:
CELLULAR CORRELATES OF AXONAL SPROUTING
轴突萌芽的细胞相关性
  • 批准号:
    2270750
  • 财政年份:
    1994
  • 资助金额:
    $ 7.17万
  • 项目类别:
CELLULAR CORRELATES OF AXONAL SPROUTING
轴突萌芽的细胞相关性
  • 批准号:
    2460571
  • 财政年份:
    1994
  • 资助金额:
    $ 7.17万
  • 项目类别:
ACTIVITY DEPENDENT PLASTICITY OF NEUROENDOCRINE AXONS
神经内分泌轴突的活动依赖性可塑性
  • 批准号:
    6529466
  • 财政年份:
    1994
  • 资助金额:
    $ 7.17万
  • 项目类别:
ACTIVITY DEPENDENT PLASTICITY OF NEUROENDOCRINE AXONS
神经内分泌轴突的活动依赖性可塑性
  • 批准号:
    6285889
  • 财政年份:
    1994
  • 资助金额:
    $ 7.17万
  • 项目类别:
ACTIVITY DEPENDENT PLASTICITY OF NEUROENDOCRINE AXONS
神经内分泌轴突的活动依赖性可塑性
  • 批准号:
    6650793
  • 财政年份:
    1994
  • 资助金额:
    $ 7.17万
  • 项目类别:
ACTIVITY DEPENDENT PLASTICITY OF NEUROENDOCRINE AXONS
神经内分泌轴突的活动依赖性可塑性
  • 批准号:
    6393652
  • 财政年份:
    1994
  • 资助金额:
    $ 7.17万
  • 项目类别:
CELLULAR CORRELATES OF AXONAL SPROUTING
轴突萌芽的细胞相关性
  • 批准号:
    2270752
  • 财政年份:
    1994
  • 资助金额:
    $ 7.17万
  • 项目类别:
SMALL INSTRUMENTATION GRANT
小型仪器补助金
  • 批准号:
    3522954
  • 财政年份:
    1992
  • 资助金额:
    $ 7.17万
  • 项目类别:
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